#!/bin/bash
#SBATCH --job-name=EVAL
#SBATCH --partition=a5000
#SBATCH --gres=gpu:1
#SBATCH --time=13-11:30:00
#SBATCH --mem=28000
#SBATCH --cpus-per-task=3
#SBATCH --output=./eval_gref/pj_gref_m12_tmp007_refcoarse_nofltroiou_bs28.log

ml purge
ml load cuda/11.8
eval "$(conda shell.bash hook)"
conda activate asda

cd /data2/projects/chaeyun/ASDA

export MASTER_PORT=9273

OPT_DIR=/data2/projects/chaeyun/ASDA/saved_models/
SAVENAME=pj_gref_m12_tmp007_refcoarse_nofltroiou_bs28
RESUME_PATH=${OPT_DIR}/${SAVENAME}_model_best.pth.tar

python test_proj.py \
  --dataset refcocog_u \
  --ngpu 1 \
  --savename $SAVENAME \
  --fuse_mode coarse \
  --resume $RESUME_PATH


# /data2/projects/chaeyun/ASDA/exp_projection/pj_gref_m10_tmp007_fine_nofltr_bs28.log
# /data2/projects/chaeyun/ASDA/exp_projection/pj_gref_m10_tmp007_coarse_fthr065_bs28.log


# /data2/projects/chaeyun/ASDA/exp/gref_umd_bs28_repro.log
# /data2/projects/chaeyun/ASDA/exp/gref_umd_bs36_repro.log

# /data2/projects/chaeyun/ASDA/exp/refcoco_sanity_bs28.log
# /data2/projects/chaeyun/ASDA/exp/refcoco_sanity_bs36.log

# /data2/projects/chaeyun/ASDA/exp/refcocop_bs28_repro.log